Machine Learning · Natural Sciences
Temporal aggregation of vision-language features for high-accuracy fish classification in automated monitoring
Silva Martins, J. R., Bárðarson, H., Guðbrandsson, J., Einarsson, H. · Ecological Informatics · 2025
Aggregates temporal vision-language features from underwater video
to classify fish species in automated monitoring streams,
combining per-frame embeddings with temporal pooling to handle the
noise and occlusion that limit frame-by-frame classifiers in
deployed systems. Published in Ecological Informatics (2025) as
part of the lab's ongoing computer-vision work with the Marine
and Freshwater Research Institute.
NLP for Icelandic & Germanic
MazeEval: a benchmark for testing sequential decision-making in language models
Einarsson, H. · arXiv preprint arXiv:2507.20395 · 2025
MazeEval is a benchmark for testing sequential decision-making in
language models through navigation tasks in procedurally generated
mazes. The setup probes whether models can maintain a coherent
internal map across multiple turns of interaction rather than
relying on local pattern matching. Single-author preprint released
on arXiv (2025).
NLP for Icelandic & Germanic
FoQA: A Faroese question-answering dataset
Simonsen, A., Nielsen, D. S., Einarsson, H. · Proceedings of the third workshop on resources and representations for under-resourced languages and domains (RESOURCEFUL-2025) · 2025
Introduces FoQA, the first dedicated question-answering dataset for
Faroese, with extractive and generative variants. The dataset is
constructed via translation and adaptation of existing QA
benchmarks combined with native-speaker validation, and is
accompanied by baseline evaluations of multilingual and Faroese-
tuned language models. Establishes a reference benchmark for
Faroese reading comprehension. RESOURCEFUL 2025 (NoDaLiDa
co-located workshop).
